Ryan Liu Email & Phone Number

- Performed exploratory data analysis on varying sports datasets to uncover trends and patterns to analyze the relationship between variables and draw meaningful conclusions, and translated these results into clear visualizations using Matplotlib and Seaborn. - Developed multiple different prediction and classification machine learning models, like linear.

- Developed and implemented sales forecasting and machine learning models for forecasting of company sales, including SARIMAX, ARIMA, Random Forest, and Linear Regression. Leveraged Snowflake for data cleaning and time-based feature engineering, and analysis of significant variables impacting sales to improve performance, including customer retention.

Fremont, California, United States

- Implemented and optimized various machine learning classification methods, developing random forests and neural networks to classify battery voltage cycles, and conducted feature engineering to extract relevant features from cycle data and improve classification accuracy. Project achieved 92% accuracy and is currently implemented into their product.

- Developed hybrid machine learning architecture consisting of convolutional neural networks and logistic regression to analyze facial features and social behavior in order to diagnose early childhood autism, achieving 87% accuracy. ​​Project accepted to present at an International Machine Learning and Artificial Intelligence Conference for Healthcare.

Bachelor'S Degree

Education record